Short-term streamflow forecasting using hybrid deep learning model based on grey wolf algorithm for hydrological time series

HC Kilinc, A Yurtsever - Sustainability, 2022 - mdpi.com
The effects of develo** technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …

Multi-objective harris hawks optimizer for multiobjective optimization problems

U Yüzgeç, M Kusoglu - BSEU Journal of Engineering …, 2020 - bseujert.bilecik.edu.tr
In this paper, a multi-objective version of the Harris Hawk Optimizer algorithm (HHO) is
proposed, which is called Multi-Objective Harris Hawk Optimization (MOHHO). In the …

Daily scale streamflow forecasting based-hybrid gradient boosting machine learning model

I Ahmadianfar, V Demir, S Heddam, AM Al-Areeq… - 2023 - researchsquare.com
Hybrid model selection built with models based on machine learning (ML) and Deep
learning (DL) has a significant impact on river flow predictions. Sustainable use of water …

A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters

M Demir, M Canayaz, Z Topalcengiz - Journal of Agricultural …, 2024 - dergipark.org.tr
The presence of Salmonella in agricultural waters may be a source of produce
contamination. Recently, the performances of various algorithms have been tested for the …

[PDF][PDF] Optimization of Non-Linear Problems Using Salp Swarm Algorithm and Solving the Energy Efficiency Problem of Buildings with Salp Swarm Algorithm-based …

E Eker, Ş Atar, F Şevgin, İ Tuğal - Electrica, 2024 - electricajournal.org
The aim of this paper is to evaluate the optimization capabilities of the salp swarm algorithm
(SSA), a metaheuristic algorithm capable of addressing contemporary global challenges …

[PDF][PDF] Solution of design optimization problems via metaheuristic search methods

B Üstüner, E Doğan - Journal of Structural Engineering & …, 2022 - goldenlightpublish.com
The method of searching for the best solution to the problem under certain conditions is
called optimization. Optimization solution methods can generally be examined under two …

YAPAY ZEKÂ TABANLI SİSTEMLERDEN ÜRETİLEN TEKNOLOJİLERİN ASKERİ HAREKÂTIN SEVK VE İDARESİNDE KULLANILMASINA YÖNELİK BİR …

M Şengöz - Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 2021 - dergipark.org.tr
Harp teknolojileri, iletişim ve bilişim teknolojilerindeki gelişmeler ve tehdidin mahiyetindeki
değişimler, silahlı kuvvetlerin konvansiyonel ve konvansiyonel olmayan mahiyette kuvvet …

Groundwater Level Prediction Based on Hybrid GRU with Grey Wolf Optimizer Approach

RS Ingle, S Samantaray, A Sahoo - Proceedings of Eighth International …, 2024 - Springer
Groundwater level (GWL) forecasting accuracy at many time scales is critical for water
resource scheduling and agricultural management. However, forecasting GWL in some …

[PDF][PDF] Short-Term Streamflow Forecasting Using Hybrid Deep Learning Model Based on Grey Wolf Algorithm for Hydrological Time Series. Sustain. 2022, 14, 3352

HC Kilinc, A Yurtsever - 2022 - researchgate.net
The effects of develo** technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …

Yılan Optimizasyon Algoritması ile CEC 2019 Problem Seti ve Mühendislik Problemlerinin Çözümü

M Arslan, G Yavuz - Türk Mühendislik Araştırma ve Eğitimi Dergisi, 2024 - dergipark.org.tr
Optimizasyon problemlerinin çözümünde Meta-sezgisel algoritmaların kullanımı yaygındır.
Bu çalışmada, CEC-2019 problem setinin çözümünde Yılan Optimizasyonu (Snake …